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"problem with input_shape keras model in Convolution Neural Network"
Contributor IHi everyone,
I have a csv dataset composed of 301 attributes and I would like to pass in my keras model 5 rows at a time and then create a 2d convolution level and 2d MaxPooling.
As input_shape I inserted (301,5,1) -> "width, height, depth" following an online example.
As soon as the process is launched, RapidMiner stops responding and displays the following error screen.
Now the number of convolution level filters is 301, but it is only one case that is equal to the number of width.
Could you help me solve the problem?
Thanks a lot.
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<description align="center" color="yellow" colored="false" height="105" resized="false" width="180" x="1030" y="132">Il layer FLATTEN &#232; usato per Input a pi&#249; dimensioni e trasforma un layer a pi&#249; dimensioni in una</description>
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